# -----------------------------------------------------------------------------
# Copyright (c) 2025, Oracle and/or its affiliates.
#
# This software is dual-licensed to you under the Universal Permissive License
# (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl and Apache License
# 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may choose
# either license.
#
# If you elect to accept the software under the Apache License, Version 2.0,
# the following applies:
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#    https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# -----------------------------------------------------------------------------

# -----------------------------------------------------------------------------
# direct_path_load.py
#
# Shows how Direct Path Loads can be used to insert into Oracle Database.
#
# The same technique can be used with data frames, see dataframe_insert.py
# An example of loading from a CSV file is in load_csv.py
# -----------------------------------------------------------------------------

import oracledb
import sample_env

connection = oracledb.connect(
    user=sample_env.get_main_user(),
    password=sample_env.get_main_password(),
    dsn=sample_env.get_connect_string(),
    params=sample_env.get_connect_params(),
)

# -----------------------------------------------------------------------------

DATA = [
    (1, "A first row"),
    (2, "A second row"),
    (3, "A third row"),
]

connection.direct_path_load(
    schema_name=sample_env.get_main_user(),
    table_name="mytab",
    column_names=["id", "data"],
    data=DATA,
)

with connection.cursor() as cursor:

    # Check the data was inserted
    sql = "select * from mytab"
    for r in cursor.execute(sql):
        print(r)

    # Clean up the table so the sample can be re-run
    cursor.execute("truncate table mytab")
